Collaborative Conversational AI Interface for Video Conferencing
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Solution Overview
Problem
Existing video conferencing technologies lack a shared collaborative interface for conversational AI tools, leading to poor user experience and difficulties in real-time collaboration.
Innovation Solution
A method for using collaborative conversational AI during video conferencing, where a video conference provider hosts a video conference and accesses a conversational AI to facilitate collaboration among participants, providing a shared chat-like interface on all client devices for real-time interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a conversational AI tool is used during video conferencing, then collaboration capability is improved, but device complexity increases due to lack of shared interface
Solution Approach 1:
The patent merges the conversational AI interface with the existing video conferencing platform by integrating the AI chat widget into the video conference room interface. This consolidation allows participants to interact with conversational AI tools through the shared video conferencing interface rather than requiring separate devices or manual processes, thereby improving collaboration capability while avoiding increased device complexity.
Solution Approach 2:
The video conferencing platform is enhanced with multi-functionality by incorporating conversational AI capabilities directly into the existing interface. The system can now perform both traditional video conferencing functions and AI-assisted collaboration functions through a unified interface, allowing participants to access AI tools without adding separate devices or complicating the overall system architecture.
2Ease of operation
If manual processes are used for AI collaboration, then ease of operation is maintained, but productivity decreases due to time-consuming manual coordination
Solution Approach 1:
The conversational AI interface enables participants to directly interact with the AI system through natural language prompts within the video conferencing platform. Participants can compose prompts locally and submit them through the shared interface, eliminating the need for manual coordination processes while maintaining ease of operation. The AI system automatically processes prompts and provides responses in real-time, significantly improving collaboration efficiency and productivity.
Solution Approach 2:
The patent replaces manual coordination processes with automated AI-based interaction mechanisms. Instead of requiring participants to manually communicate AI requests and responses through traditional conferencing channels, the system substitutes these mechanical processes with automated AI prompt-processing mechanisms that operate directly within the video conferencing interface, thereby improving productivity while maintaining operational simplicity.
3Adaptability or versatility
If real-time AI interaction is enabled, then collaboration effectiveness is improved, but loss of time increases due to processing delays
Solution Approach 1:
The system enables participants to compose prompts locally before submission, allowing them to prepare and refine their queries in advance. This preliminary action ensures that prompts are ready for immediate processing when submitted through the shared interface, minimizing delays and maintaining real-time collaboration effectiveness. The AI system can then process ready-to-process prompts efficiently, reducing overall response time.
Data Source
AI summary
Techniques for using collaborative conversational artificial intelligence during video conferencing are provided. In an example method, a video conference provider joins first and second client devices to a video conference. The video conference provider receives, from the first client device, a first prompt and relays the first prompt to a conversational AI, which is followed by receipt of a first response. The video conference provider then outputs, to the second client device, a data structure including information about the first prompt and the first response. In some examples, the video conference provider receives, from the second client device, a second prompt and relays the second prompt to the conversational AI, which is followed by receipt of a second response. The video conference provider then outputs, to the first client device, a data structure including information about the second prompt and the second response.